Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview

Area of Science:

• Computer Science
• Biomedical Engineering
• Human-Computer Interaction

Background:

• Smartphones have become ubiquitous, featuring advanced sensors like accelerometers.
• Inertial sensors in smartphones are crucial for recognizing physical activities.
• Human Activity Recognition (HAR) has applications in health, transportation, and more.

Purpose of the Study:

• To provide a comprehensive review of Human Activity Recognition (HAR) solutions.
• To analyze the evolution and current state of HAR using smartphone inertial sensors.
• To detail HAR methodologies and best practices.

Main Methods:

• Reviewing historical developments in HAR over the last two decades.
• Describing the step-by-step methodology of HAR solutions utilizing inertial sensors.
• Citing key references and implementation best practices.

Main Results:

• Inertial sensors are central to current HAR advancements.
• The review synthesizes state-of-the-art HAR techniques and findings.
• Identified best practices for implementing HAR solutions.

Conclusions:

• Smartphone inertial sensors are pivotal for effective HAR.
• The study offers a foundational understanding of HAR methodologies.
• Highlights the potential of HAR in various application domains.